Headline Vibes Analysis MCP Server
by fred-em
The Headline Vibes Analysis MCP Server analyzes sentiment in news headlines from major US publications. It provides both a standard date-based interface and natural language date parsing for easier use.
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What is Headline Vibes Analysis MCP Server?
This server is a Model Context Protocol (MCP) server that analyzes the sentiment of news headlines from major US publications, providing a sentiment score and source distribution information.
How to use Headline Vibes Analysis MCP Server?
To use the server, send a request to the 'analyze_headlines' tool with either a specific date (YYYY-MM-DD) or a natural language date input (e.g., 'yesterday', 'last Friday'). The server requires a NewsAPI key configured in the MCP settings file.
Key features of Headline Vibes Analysis MCP Server
Analyzes up to 100 headlines per request
Even distribution of headlines across major US news sources
Sentiment scoring on a 0-10 scale
Natural language date parsing
Detailed source distribution information
Sample headlines included in results
Use cases of Headline Vibes Analysis MCP Server
Monitoring public sentiment towards specific events or topics.
Tracking media bias across different news sources.
Analyzing the emotional tone of news coverage over time.
Integrating sentiment analysis into news aggregation or recommendation systems.
FAQ from Headline Vibes Analysis MCP Server
What date formats are supported?
What date formats are supported?
The server supports both specific dates in YYYY-MM-DD format and natural language date inputs like 'yesterday', 'last Friday', etc.
How many headlines are analyzed per request?
How many headlines are analyzed per request?
The server analyzes up to 100 headlines per request.
What news sources are used?
What news sources are used?
The server pulls headlines from major US news sources including Associated Press, Reuters, CNN, Fox News, NBC News, ABC News, Wall Street Journal, Washington Post, USA Today, Bloomberg, Business Insider, and Time.
What does the sentiment score represent?
What does the sentiment score represent?
The sentiment score is a normalized value between 0 and 10, where 0 represents the most negative sentiment and 10 represents the most positive sentiment.
What do I do if I get an error?
What do I do if I get an error?
The server provides clear error messages for common issues such as invalid date formats, unparseable natural language queries, no headlines found for the specified date, or API errors from NewsAPI. Check your input and NewsAPI key configuration.